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A library for numerical crunching and machine learning on microcontrollers
License: Apache License 2.0
This project forked from 1chipml/1chipml
A library for numerical crunching and machine learning on microcontrollers
License: Apache License 2.0
Tests should follow this structure :
int main() {
mat* input;
mat* expected;
test1(input, expected);
}
void test1(input, expected) {
...
}
...
When a test succeeds, it should return 0 and print "Success : test name
with arguments
"
When a test fails, it should return 1 and print "Fail : test name
with arguments
, expected expected value
, but got real value
Add PCA example using Lanzcos and Jaocbi that can run on the atmega328p.
Detail changes to vision document
Define function with small number of variable and compute the min
On the edge ML model training (e.g., neural network on a relatively small problem)
Implique le backpropagation, pas forcement reseaux de neuronnes
Model avec hyperparametre pour voir ce qui donne les bonne prediction
Curve fitting from measurements (e.g. Simple short-term predictions/estimations)
Recoit mesure sur microcontroleur (ex: Temperature)
Curve fitting : donner valeur entre mesuration, ou apres mesuration
4 Convex optimization (e.g., for industry process optimization)
Trouver fct convex avec sens industriel
Pas trop de param sinon compliquer
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